The college graduation rate of Puerto Rico was 24.60% in 2016.

Graduation Rates

Above charts are based on data from the U.S. Census American Community Survey | ODN Dataset | API - Notes:

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Education and Graduation Rates Datasets Involving Puerto Rico

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    Directorio Comprensivo de Escuelas Públicas, Puerto Rico 2018

    data.pr.gov | Last Updated 2018-08-24T13:17:05.000Z

    Este directorio contiene información a nivel de escuelas públicas en Puerto Rico. Además de las características básicas de la escuela como lo es por ejemplo, nombre de la escuela, código único, distrito, dirección, coordenadas geoespaciales, nivel, y grados, este directorio contiene datos sobre matrícula, aprovechamiento académico (resultados META-PR) y nivel de pobreza de sus estudiantes. Otro aspecto que presenta este directorio es información sobre los posibles cambios de la escuela luego de los procesos de consolidación. Actualizado el 13 de junio de 2018.

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    Grados Conferidos Universidad de Puerto Rico 2009-2013

    data.pr.gov | Last Updated 2015-05-12T16:44:14.000Z

    Reconocimiento formal por una institución de educación superior licenciada de otorgar uno o varios grados a un estudiante que evidencia haber cumplido con los requerimientos establecidos en los mismos.

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    Socioeconomic Index

    data.pr.gov | Last Updated 2014-08-20T15:44:06.000Z

    Socioeconomic Index - This index is an aggregate measurement of the socioeconomic status of each municipality. It is determined by six (6) critical variables that characterize each locality: per capita income, median family income, families below the poverty level, labor force unemployment rate, population education level and illiteracy. Of these, the first three variables measure the economic status of families and individuals who reside within the geographical boundaries of each municipality. The fourth is a broad indicator of the economic health of these. The latter two provide a general measure of the level of social advancement of their community. To obtain the index, each of the municipality’s variables were divided by the corresponding value for Puerto Rico. Thus, a relative measure of each municipality in relation to the insular value for the same variables was obtained. Three of these variables (per capita income, median family income and education level), as its value increases, indicates economic progress. On the other hand, the remaining three variables (families under poverty, illiteracy, and unemployment rate), as its value increases, indicates socioeconomic decline. Therefore, we used these three variables to the inverse of the ratio of the value of the municipality on Puerto Rico. Hence, all components of the index represent an improvement if the values increase. Concentration Index of the Commercial and Industrial Activity - This index is an aggregate measure used for the evaluation of the concentration of industrial and commercial activity of each municipality and its relation to the activity island wide. The index is composed by the population size and the number of establishments, commercial and industrial, of each municipality in relation to Puerto Rico.

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    Virginia Beach Demographics

    data.vbgov.com | Last Updated 2017-10-12T13:51:45.000Z

    This dataset provides demographic information from the American Community Survey about residents of Virginia Beach. This data was originally provided in the executive summary of the City of Virginia Beach’s Operating Budget.

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    Hate Crimes by County and Bias Type: Beginning 2010

    data.ny.gov | Last Updated 2018-08-07T23:35:10.000Z

    Under New York State’s Hate Crime Law (Penal Law Article 485), a person commits a hate crime when one of a specified set of offenses is committed targeting a victim because of a perception or belief about their race, color, national origin, ancestry, gender, religion, religious practice, age, disability, or sexual orientation, or when such an act is committed as a result of that type of perception or belief. These types of crimes can target an individual, a group of individuals, or public or private property. DCJS submits hate crime incident data to the FBI’s Uniform Crime Reporting (UCR) Program. Information collected includes number of victims, number of offenders, type of bias motivation, and type of victim.

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    U.S. or Foreign Born - Dataset

    opendata.ramseycounty.us | Last Updated 2017-08-03T20:33:41.000Z

    Dataset showing the number and percent of persons either U.S. born or Foreign born. Native born refers to people born in the United States, Puerto Rico, or a U.S. Island Areas, as well as those born in a foreign country who have at least one parent who is a U.S. citizen. Foreign born refers to people who are not U.S. citizens at birth. This includes naturalized U.S. citizens, lawful permanent residents (immigrants), temporary migrants (such as foreign students), humanitarian migrants (such as refugees and asylees), and persons illegally present in the United States.

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    Bronx 2010 PUMA Ethnicity and Nationality

    bronx.lehman.cuny.edu | Last Updated 2013-06-13T03:05:44.000Z

    2010 Census data on Ethnicity and Nationality per PUMA in the Bronx. Data provided by Lehman College Geography Department faculty

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    Bronx Ethnic Census Data 2010

    bronx.lehman.cuny.edu | Last Updated 2013-06-10T03:17:53.000Z

    Results from the 2010 Census regard ethnic makeup of Bronx census tracts. Source of this data came from the faculty of the Geography department at Lehman College

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    New York City Work and Family Leave Survey (WFLS) 2014

    data.cityofnewyork.us | Last Updated 2018-10-05T20:23:46.000Z

    The New York City Work and Family Leave Survey (WFLS), conducted in March 2016, was a telephone survey of New York City residents who gave birth in 2014. Its goal was to improve understanding about the availability and accessibility of paid family leave to working parents. The WFLS also sought to describe the role that paid family leave policies play in achieving health equity for parents and children. The WFLS was made possible through funding by the U.S. Department of Labor Women’s Bureau.

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    Uninsured Population Census Data CY 2009-2014 Human Services

    data.pa.gov | Last Updated 2018-07-25T18:50:47.000Z

    This data is pulled from the U.S. Census website. This data is for years Calendar Years 2009-2014. Product: SAHIE File Layout Overview Small Area Health Insurance Estimates Program - SAHIE Filenames: SAHIE Text and SAHIE CSV files 2009 – 2014 Source: Small Area Health Insurance Estimates Program, U.S. Census Bureau. Internet Release Date: May 2016 Description: Model‐based Small Area Health Insurance Estimates (SAHIE) for Counties and States File Layout and Definitions The Small Area Health Insurance Estimates (SAHIE) program was created to develop model-based estimates of health insurance coverage for counties and states. This program builds on the work of the Small Area Income and Poverty Estimates (SAIPE) program. SAHIE is only source of single-year health insurance coverage estimates for all U.S. counties. For 2008-2014, SAHIE publishes STATE and COUNTY estimates of population with and without health insurance coverage, along with measures of uncertainty, for the full cross-classification of: •5 age categories: 0-64, 18-64, 21-64, 40-64, and 50-64 •3 sex categories: both sexes, male, and female •6 income categories: all incomes, as well as income-to-poverty ratio (IPR) categories 0-138%, 0-200%, 0-250%, 0-400%, and 138-400% of the poverty threshold •4 races/ethnicities (for states only): all races/ethnicities, White not Hispanic, Black not Hispanic, and Hispanic (any race). In addition, estimates for age category 0-18 by the income categories listed above are published. Each year’s estimates are adjusted so that, before rounding, the county estimates sum to their respective state totals and for key demographics the state estimates sum to the national ACS numbers insured and uninsured. This program is partially funded by the Centers for Disease Control and Prevention's (CDC), National Breast and Cervical Cancer Early Detection ProgramLink to a non-federal Web site (NBCCEDP). The CDC have a congressional mandate to provide screening services for breast and cervical cancer to low-income, uninsured, and underserved women through the NBCCEDP. Most state NBCCEDP programs define low-income as 200 or 250 percent of the poverty threshold. Also included are IPR categories relevant to the Affordable Care Act (ACA). In 2014, the ACA will help families gain access to health care by allowing Medicaid to cover families with incomes less than or equal to 138 percent of the poverty line. Families with incomes above the level needed to qualify for Medicaid, but less than or equal to 400 percent of the poverty line can receive tax credits that will help them pay for health coverage in the new health insurance exchanges. We welcome your feedback as we continue to research and improve our estimation methods. The SAHIE program's age model methodology and estimates have undergone internal U.S. Census Bureau review as well as external review. See the SAHIE Methodological Review page for more details and a summary of the comments and our response. The SAHIE program models health insurance coverage by combining survey data from several sources, including: •The American Community Survey (ACS) •Demographic population estimates •Aggregated federal tax returns •Participation records for the Supplemental Nutrition Assistance Program (SNAP), formerly known as the Food Stamp program •County Business Patterns •Medicaid •Children's Health Insurance Program (CHIP) participation records •Census 2010 Margin of error (MOE). Some ACS products provide an MOE instead of confidence intervals. An MOE is the difference between an estimate and its upper or lower confidence bounds. Confidence bounds can be created by adding the margin of error to the estimate (for the upper bound) and subtracting the margin of error from the estimate (for the lower bound). All published ACS margins of error are based on a 90-percent confidence level.